{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Train and Deploy a Fastai v1 Image Classification Model on Azure Machine Learning \n",
    "\n",
    "In this notebook we will do the following: \n",
    "\n",
    "1) Train a model locally with Azure Compute Instance (CI).\n",
    
    "2) Log metrics to Azure Machine Learning. \n",
    
    "3) Learn how to register a model in your Azure Machine Learning Workspace.\n",
    
    "4) Deploy your model as a web service in an Azure Container Instance (ACI) and call the webservice. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#This is to ensure that any edits to libraries you make are reloaded here automatically, and also that any charts or images displayed are shown in this notebook.\n",
    "%reload_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We import all the necessary packages. We are going to work with the fastai V1 library (Pytorch 1.0). The fastai library provides many useful functions that enable us to quickly and easily build neural networks and train our models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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     ]
    }
   ],
   "source": [
    "!pip install fastai\n",
    "from fastai.vision import *\n",
    "from fastai.metrics import error_rate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Connect to Workspace \n",
    "\n",
    "Create a workspace object from the existing workspace. Workspace.from_config() reads the file config.json and loads the details into an object named ws."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'id': '/subscriptions/15ae9cb6-95c1-483d-a0e3-b1a1a3b06324/resourceGroups/PipelinesUsabilityStudy/providers/Microsoft.MachineLearningServices/workspaces/shwinneworkshop', 'name': 'shwinneworkshop', 'location': 'eastus2', 'type': 'Microsoft.MachineLearningServices/workspaces', 'tags': {}, 'sku': 'Enterprise', 'workspaceid': '2c99da6f-e7fc-4070-b1f7-204807455abf', 'description': '', 'friendlyName': '', 'creationTime': '2020-01-13T20:47:53.0433365+00:00', 'containerRegistry': '/subscriptions/15ae9cb6-95c1-483d-a0e3-b1a1a3b06324/resourceGroups/PipelinesUsabilityStudy/providers/Microsoft.ContainerRegistry/registries/shwinneworks933cbd9b', 'keyVault': '/subscriptions/15ae9cb6-95c1-483d-a0e3-b1a1a3b06324/resourcegroups/pipelinesusabilitystudy/providers/microsoft.keyvault/vaults/shwinneworksho8870415227', 'applicationInsights': '/subscriptions/15ae9cb6-95c1-483d-a0e3-b1a1a3b06324/resourcegroups/pipelinesusabilitystudy/providers/microsoft.insights/components/shwinneworksho2947248937', 'identityPrincipalId': '96324b21-c7ac-40df-91a6-d978ae017864', 'identityTenantId': '72f988bf-86f1-41af-91ab-2d7cd011db47', 'identityType': 'SystemAssigned', 'storageAccount': '/subscriptions/15ae9cb6-95c1-483d-a0e3-b1a1a3b06324/resourcegroups/pipelinesusabilitystudy/providers/microsoft.storage/storageaccounts/shwinneworksho1645067620', 'hbiWorkspace': False}\n"
     ]
    }
   ],
   "source": [
    "import azureml \n",
    "from azureml.core import Workspace\n",
    "\n",
    "ws = Workspace.from_config()\n",
    "print(ws.get_details())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dataset \n",
    "\n",
    "We are going to use the Food 101 dataset (https://www.kaggle.com/kmader/food41#1028787.jpg ) which features 101 food categories, with 101'000 images. For each class, 250 manually reviewed test images are provided as well as 750 training images. For the purpose of this notebook, we will be classifying amongst 5 different food categories (applie pie, waffles, padthai, bread pudding and ramen). We will be using only 200 images per food category. We will use a training set of 160 images and a validation set of 60 images for each class of food. \n",
    "\n",
    "Please download the images from Kaggle into separate folders and create 5 datasets for each of the categories of food by following the instructions in the prepare-dataset.md file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Get and download food images from the 'File Datasets' from your workspace.\n",
    "#Create directories for your classes and choose an appropriate folder name for your labeled images.\n",
    "\n",
    "from azureml.core import Dataset\n",
    "\n",
    "apple_pie_dataset = Dataset.get_by_name(ws, name='apple-pie')\n",
    "apple_pie_dataset.download(target_path='./data/apple-pie', overwrite=False)\n",
    "\n",
    "waffles_dataset = Dataset.get_by_name(ws, name='waffles')\n",
    "waffles_dataset.download(target_path='./data/waffles', overwrite=False)\n",
    "\n",
    "padthai_dataset = Dataset.get_by_name(ws, name='pad-thai')\n",
    "padthai_dataset.download(target_path='./data/padthai', overwrite=False)\n",
    "\n",
    "breadpudding_dataset = Dataset.get_by_name(ws, name='bread-pudding')\n",
    "breadpudding_dataset.download(target_path='./data/breadpudding', overwrite=False)\n",
    "\n",
    "ramen_dataset = Dataset.get_by_name(ws, name='ramen')\n",
    "ramen_dataset.download(target_path='./data/ramen', overwrite=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[PosixPath('data/.ipynb_checkpoints'),\n",
       " PosixPath('data/apple-pie'),\n",
       " PosixPath('data/breadpudding'),\n",
       " PosixPath('data/models'),\n",
       " PosixPath('data/padthai'),\n",
       " PosixPath('data/ramen'),\n",
       " PosixPath('data/waffles')]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pathlib\n",
    "from pathlib import Path\n",
    "\n",
    "#list the directories to the images \n",
    "path = Path('data')\n",
    "path.ls()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#These are the classes for your food categories\n",
    "\n",
    "classes = ['apple-pie','breadpudding','padthai', 'ramen', 'waffles']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "apple-pie\n"
     ]
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "breadpudding\n"
     ]
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "padthai\n"
     ]
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ramen\n"
     ]
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "waffles\n"
     ]
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Remove any images that cannot be opened. \n",
    "\n",
    "for c in classes:\n",
    "    print(c)\n",
    "    verify_images(path/c, delete=True, max_size=2200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# View Data\n",
    "\n",
    "ImageDataBunch returns a data bunch object which is needed for modeling in fast AI. This contains the images and labels for the training, validation and/or test datasets. \n",
    "\n",
    "We want to ensure that all images are the same shape and size for better GPU performance. We will use size = 224 to ensure that all the images are of 224x224 square size.\n",
    "\n",
    "If the data is not normalized, we can have difficulty training a model. We want the red, green and blue channels of the images to have a mean of 0 and standard deviation of 1. The get_transforms function ensures that the image sizes are 224 x 224 by doing a combination of techniques such as center cropping and resizing. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(42)\n",
    "data = ImageDataBunch.from_folder(path, train=\".\", valid_pct=0.2,\n",
    "        ds_tfms=get_transforms(), size=224).normalize(imagenet_stats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x432 with 25 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#let's take a look at our delicious food! Yummm....\n",
    "\n",
    "data.show_batch(rows=5, figsize=(7,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(['apple-pie', 'breadpudding', 'padthai', 'ramen', 'waffles'], 5, 800, 200)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.classes, data.c, len(data.train_ds), len(data.valid_ds)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Training \n",
    "\n",
    "For more information on Convolutional Neural Networks please see http://cs231n.github.io/convolutional-networks/ .We will train a CNN to classify food images for 5 types of food. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create your model called 'learn'\n",
    "\n",
    "learn = cnn_learner(data, models.resnet34, metrics=accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th>epoch</th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1.956035</td>\n",
       "      <td>0.827609</td>\n",
       "      <td>0.765000</td>\n",
       "      <td>00:24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1.311538</td>\n",
       "      <td>0.750267</td>\n",
       "      <td>0.810000</td>\n",
       "      <td>00:16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0.969981</td>\n",
       "      <td>0.736021</td>\n",
       "      <td>0.790000</td>\n",
       "      <td>00:15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0.794355</td>\n",
       "      <td>0.712056</td>\n",
       "      <td>0.780000</td>\n",
       "      <td>00:16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "learn.fit_one_cycle(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PosixPath('.')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Export the model. This step is important if you want to perform inferencing. \n",
    "\n",
    "learn.path = Path(\".\") \n",
    "learn.export()\n",
    "path = learn.path\n",
    "path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Category apple-pie"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#scoring using fastai \n",
    "img = open_image('data/apple-pie/3068872.jpg')\n",
    "img\n",
    "pred_class,pred_idx,outputs = learn.predict(img)\n",
    "pred_class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "interp = ClassificationInterpretation.from_learner(learn)\n",
    "interp.plot_confusion_matrix()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create Experiment \n",
    "\n",
    "Create an experiment to track the runs in your workspace. A workspace can have multiple experiments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from azureml.core import Experiment, Run\n",
    "\n",
    "#create new AML experiment \n",
    "experiment = Experiment(ws, 'fastai-food-classification')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing train.py\n"
     ]
    }
   ],
   "source": [
    "%%writefile train.py\n",
    "\n",
    "from fastai.vision import (ImageDataBunch, get_transforms, cnn_learner, models, imagenet_stats, accuracy)\n",
    "from pathlib import Path \n",
    "from azureml.core.run import Run \n",
    "import numpy as np\n",
    "\n",
    "# get the Azure ML run object\n",
    "run = Run.get_context()\n",
    "\n",
    "# get images\n",
    "path = Path('data')\n",
    "np.random.seed(2)\n",
    "data = ImageDataBunch.from_folder(path,\n",
    "                                       train=\".\",\n",
    "                                       valid_pct=0.2,\n",
    "                                       ds_tfms=get_transforms(),\n",
    "                                       size=224).normalize(imagenet_stats)\n",
    "\n",
    "# build estimator based on ResNet 34\n",
    "learn = cnn_learner(data, models.resnet34, metrics=accuracy)\n",
    "learn.fit_one_cycle(2)\n",
    "\n",
    "# do test time augmentation and get accuracy\n",
    "acc = accuracy(*learn.TTA())\n",
    "\n",
    "\n",
    "# log the accuracy to run\n",
    "run.log('Accuracy', np.float(acc))\n",
    "print(\"Accuracy: \", np.float(acc))\n",
    "\n",
    "# Save the model to the root. Note: this is not registering model\n",
    "#learn.path = Path(\".\")\n",
    "#learn.export()\n",
    "#path = learn.path\n",
    "#path"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# System-managed environment \n",
    "\n",
    "Now, instead of managing the setup of the environment yourself, you can ask the system to build a new conda environment for you. The environment is built once, and will be reused in subsequent executions as long as the conda dependencies remain unchanged."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RunId: fastai-food-classification_1585270168_ec66b6de\n",
      "Web View: https://ml.azure.com/experiments/fastai-food-classification/runs/fastai-food-classification_1585270168_ec66b6de?wsid=/subscriptions/15ae9cb6-95c1-483d-a0e3-b1a1a3b06324/resourcegroups/pipelinesusabilitystudy/workspaces/shwinneworkshop\n",
      "\n",
      "Execution Summary\n",
      "=================\n",
      "RunId: fastai-food-classification_1585270168_ec66b6de\n",
      "Web View: https://ml.azure.com/experiments/fastai-food-classification/runs/fastai-food-classification_1585270168_ec66b6de?wsid=/subscriptions/15ae9cb6-95c1-483d-a0e3-b1a1a3b06324/resourcegroups/pipelinesusabilitystudy/workspaces/shwinneworkshop\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'runId': 'fastai-food-classification_1585270168_ec66b6de',\n",
       " 'target': 'local',\n",
       " 'status': 'Completed',\n",
       " 'startTimeUtc': '2020-03-27T00:50:50.98713Z',\n",
       " 'endTimeUtc': '2020-03-27T00:51:40.943921Z',\n",
       " 'properties': {'_azureml.ComputeTargetType': 'local',\n",
       "  'ContentSnapshotId': 'e5c25456-b862-464b-a858-d55d595e1c67'},\n",
       " 'inputDatasets': [],\n",
       " 'runDefinition': {'script': 'train.py',\n",
       "  'useAbsolutePath': False,\n",
       "  'arguments': [],\n",
       "  'sourceDirectoryDataStore': None,\n",
       "  'framework': 'Python',\n",
       "  'communicator': 'None',\n",
       "  'target': 'local',\n",
       "  'dataReferences': {},\n",
       "  'data': {},\n",
       "  'jobName': None,\n",
       "  'maxRunDurationSeconds': None,\n",
       "  'nodeCount': 1,\n",
       "  'environment': {'name': 'myenv',\n",
       "   'version': 'Autosave_2020-02-25T03:31:01Z_032f0153',\n",
       "   'python': {'interpreterPath': 'python',\n",
       "    'userManagedDependencies': False,\n",
       "    'condaDependencies': {'channels': ['conda-forge'],\n",
       "     'dependencies': ['python=3.6.2',\n",
       "      {'pip': ['azureml-defaults', 'fastai', 'ipykernel']}],\n",
       "     'name': 'azureml_fee5e6a925f3137a27e127f818b18c0e'},\n",
       "    'baseCondaEnvironment': None},\n",
       "   'environmentVariables': {'EXAMPLE_ENV_VAR': 'EXAMPLE_VALUE'},\n",
       "   'docker': {'baseImage': 'mcr.microsoft.com/azureml/base:intelmpi2018.3-ubuntu16.04',\n",
       "    'baseDockerfile': None,\n",
       "    'baseImageRegistry': {'address': None, 'username': None, 'password': None},\n",
       "    'enabled': False,\n",
       "    'arguments': []},\n",
       "   'spark': {'repositories': [], 'packages': [], 'precachePackages': True},\n",
       "   'inferencingStackVersion': None},\n",
       "  'history': {'outputCollection': True,\n",
       "   'directoriesToWatch': ['logs'],\n",
       "   'snapshotProject': True},\n",
       "  'spark': {'configuration': {'spark.app.name': 'Azure ML Experiment',\n",
       "    'spark.yarn.maxAppAttempts': '1'}},\n",
       "  'amlCompute': {'name': None,\n",
       "   'vmSize': None,\n",
       "   'retainCluster': False,\n",
       "   'clusterMaxNodeCount': None},\n",
       "  'tensorflow': {'workerCount': 1, 'parameterServerCount': 1},\n",
       "  'mpi': {'processCountPerNode': 1},\n",
       "  'hdi': {'yarnDeployMode': 'Cluster'},\n",
       "  'containerInstance': {'region': None, 'cpuCores': 2, 'memoryGb': 3.5},\n",
       "  'exposedPorts': None,\n",
       "  'docker': {'useDocker': False,\n",
       "   'sharedVolumes': True,\n",
       "   'shmSize': '2g',\n",
       "   'arguments': []},\n",
       "  'cmk8sCompute': {'configuration': {}}},\n",
       " 'logFiles': {'azureml-logs/60_control_log.txt': 'https://shwinneworksho1645067620.blob.core.windows.net/azureml/ExperimentRun/dcid.fastai-food-classification_1585270168_ec66b6de/azureml-logs/60_control_log.txt?sv=2019-02-02&sr=b&sig=IMccjXieU%2Bgo2FahXYBr2RfUnHQ4xCnL1KabfWQvJew%3D&st=2020-03-27T00%3A42%3A22Z&se=2020-03-27T08%3A52%3A22Z&sp=r',\n",
       "  'azureml-logs/70_driver_log.txt': 'https://shwinneworksho1645067620.blob.core.windows.net/azureml/ExperimentRun/dcid.fastai-food-classification_1585270168_ec66b6de/azureml-logs/70_driver_log.txt?sv=2019-02-02&sr=b&sig=K824paJtfQWAexOzBGhKO%2BQKp2FYqytPwJqOJw1pNMk%3D&st=2020-03-27T00%3A42%3A22Z&se=2020-03-27T08%3A52%3A22Z&sp=r',\n",
       "  'logs/azureml/24274_azureml.log': 'https://shwinneworksho1645067620.blob.core.windows.net/azureml/ExperimentRun/dcid.fastai-food-classification_1585270168_ec66b6de/logs/azureml/24274_azureml.log?sv=2019-02-02&sr=b&sig=sQdGt2PKUrU3Rrs%2FcsoQqLI6a4lUMDkM4mMY7Dib0XA%3D&st=2020-03-27T00%3A42%3A22Z&se=2020-03-27T08%3A52%3A22Z&sp=r'}}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from azureml.core.environment import CondaDependencies\n",
    "from azureml.core import Environment\n",
    "from azureml.core import ScriptRunConfig\n",
    "\n",
    "\n",
    "#If your total snapshot size exceeds the limit of 300.0 MB, uncomment the below line. Please see http://aka.ms/aml-largefiles on how to work with large files.\n",
    "\n",
    "#azureml._restclient.snapshots_client.SNAPSHOT_MAX_SIZE_BYTES = 5000000000\n",
    "\n",
    "myenv = Environment(name=\"myenv\")\n",
    "conda_dep = CondaDependencies()\n",
    "conda_dep.add_pip_package(\"fastai\")\n",
    "conda_dep.add_pip_package(\"ipykernel\")\n",
    "myenv.python.conda_dependencies=conda_dep\n",
    "\n",
    "myenv.python.user_managed_dependencies = False\n",
    "\n",
    "#To submit a run, create a run configuration that combines the script file and environment, and pass it to Experiment.submit. \n",
    "#In this example, the script is submitted to local computer, but you can specify other compute targets such as remote clusters as well.\n",
    "\n",
    "runconfig = ScriptRunConfig(source_directory=\".\", script=\"train.py\")\n",
    "runconfig.run_config.target = \"local\"\n",
    "runconfig.run_config.environment = myenv\n",
    "run = experiment.submit(config=runconfig)\n",
    "\n",
    "run.wait_for_completion(show_output=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from azureml.widgets import RunDetails \n",
    "RunDetails(run).show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#Register Model\n",
    "\n",
    "Register a file or folder as a model by calling [Model.register()](https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.model.model?view=azure-ml-py#register-workspace--model-path--model-name--tags-none--properties-none--description-none--datasets-none--model-framework-none--model-framework-version-none--child-paths-none-). In addition to the content of the model file itself, your registered model will also store model metadata, model description, tags, and framework information that will be useful when managing and deploying models in your workspace. Using tags, for instance, you can categorize your models and apply filters when listing models in your workspace. Also, marking this model with the scikit-learn framework will simplify deploying it as a web service, as we'll see later.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Registering model food_classification_model2\n",
      "food_classification_model2 Model predicting types of food 28\n"
     ]
    }
   ],
   "source": [
    "from azureml.core.model import Model\n",
    "\n",
    "#Register the model\n",
    "model = Model.register(model_path = \"export.pkl\", # this points to a local file\n",
    "                       model_name = \"food_classification_model2\", # this is the name the model is registered as\n",
    "                       tags = {'food': \"Yummmm :)\"},\n",
    "                       description = \"Model predicting types of food\",\n",
    "                       workspace = ws)\n",
    "\n",
    "print(model.name, model.description, model.version)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prepare to deploy\n",
    "\n",
    "\n",
    "To deploy the model, you need the following items:\n",
    "\n",
    "1) An entry script, this script accepts requests, scores the requests by using the model, and returns the results.\n",
    "\n",
    "2) Dependencies, like helper scripts or Python/Conda packages required to run the entry script or model.\n",
    "\n",
    "3) The deployment configuration for the compute target that hosts the deployed model. This configuration describes things like memory and CPU requirements needed to run the model.\n",
    "\n",
    "Define your entry script and dependencies\n",
    "\n",
    "We will first write the entry script as shown below. Note a few points in the entry script.\n",
    "\n",
    "The script contains two functions that load and run the model:\n",
    "\n",
    "init(): Typically, this function loads the model into a global object. This function is run only once, when the Docker container for your web service is started. Ensure to make your global declarations inside of the init() function. \n",
    "\n",
    "run(request): This function uses the model to predict a value based on the input data. Inputs and outputs of the run typically use JSON for serialization and deserialization. You can also work with raw binary data. You can transform the data before sending it to the model or before returning it to the client."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The fastai predict function returns the object predicted (with the class in this instance), the underlying data (here the corresponding index) and the raw probabilities. You can also do inference on a larger set of data by adding a test set. This is done by passing an ItemList to load_learner. Please see https://docs.fast.ai/tutorial.inference.html for more information. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting score.py\n"
     ]
    }
   ],
   "source": [
    "%%writefile score.py\n",
    "\n",
    "import os\n",
    "import json\n",
    "from azureml.core.model import Model\n",
    "from azureml.core import Workspace\n",
    "import fastai \n",
    "from fastai.vision import *\n",
    "from fastai.metrics import accuracy \n",
    "from fastai.metrics import error_rate\n",
    "import urllib.request\n",
    "\n",
    "\n",
    "def download_jpg(url):\n",
    "    file_path = \"./breadpudding.jpg\"\n",
    "    local_filename, header = urllib.request.urlretrieve(url, file_path)    \n",
    "    return local_filename\n",
    "\n",
    "def init():   \n",
    "    global food_classification_model\n",
    "    # The AZUREML_MODEL_DIR environment variable indicates a directory containing the model file you registered.  \n",
    "    #this init works \n",
    "    model_path=os.getenv('AZUREML_MODEL_DIR')     \n",
    "    filename=\"export.pkl\"\n",
    "    classes = ['apple-pie','breadpudding','padthai', 'ramen', 'waffles']\n",
    "    food_classification_model = load_learner(path=model_path, file=filename)   \n",
    "    classes = food_classification_model.data.classes\n",
    "    print(classes)\n",
    "\n",
    "\n",
    "def run(request):   \n",
    "    candidate_url = json.loads(request)[\"url\"]   \n",
    "    file_path = download_jpg(candidate_url)\n",
    "    img = open_image(file_path)\n",
    "    prediction = food_classification_model.predict(img)\n",
    "    index = 0\n",
    "    pred = str(prediction[index])\n",
    "    print(pred)\n",
    "    return pred\n",
    "\n",
    "\n",
   
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define dependencies\n",
    "The following YAML is the Conda dependencies file we will use for inference. If you want to use automatic schema generation, your entry script must import the inference-schema packages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting myenv.yml\n"
     ]
    }
   ],
   "source": [
    "%%writefile myenv.yml\n",
    "\n",
    "name: project_environment\n",
    "dependencies:\n",
    "- python=3.6.9\n",
    "\n",
    "- pip:\n",
    "  - fastai==1.0.60\n",
    "  - torch\n",
    "  - torchvision  \n",
    "  - azureml-defaults\n",
    "  - azureml-core\n",
    "  - matplotlib==3.1.2\n",
    "- numpy==1.16.2\n",
    "- Pillow==6.2.0\n",
    "- pandas==0.23.4\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "from azureml.core import Environment\n",
    "\n",
    "# Instantiate environment\n",
    "myenv = Environment.from_conda_specification(name = \"myenv\",\n",
    "                                             file_path = \"myenv.yml\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define your inference configuration. The inference configuration describes how to configure the model to make predictions. This configuration isn't part of your entry script. It references your entry script and is used to locate all the resources required by the deployment. It's used later, when you deploy the model.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "from azureml.core.model import InferenceConfig\n",
    "\n",
    "inference_config = InferenceConfig(entry_script='score.py', environment=myenv)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Deploy Model\n",
    "\n",
    "Before deploying your model, you must define the deployment configuration. The deployment configuration is specific to the compute target that will host the web service. The deployment configuration isn't part of your entry script. It's used to define the characteristics of the compute target that will host the model and entry script.\n",
    "\n",
    "You can customize the deploy configuration (i.e. the number of cores and amount of memory made available for the deployment) using the [AciWebservice.deploy_configuration()](https://docs.microsoft.com/python/api/azureml-core/azureml.core.webservice.aci.aciwebservice#deploy-configuration-cpu-cores-none--memory-gb-none--tags-none--properties-none--description-none--location-none--auth-enabled-none--ssl-enabled-none--enable-app-insights-none--ssl-cert-pem-file-none--ssl-key-pem-file-none--ssl-cname-none--dns-name-label-none--).\n",
    "        \n",
    "**Note**: This step can take several minutes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "from azureml.core.webservice import AciWebservice\n",
    "\n",
    "aciconfig = AciWebservice.deploy_configuration(cpu_cores=1, \n",
    "                                               memory_gb=1, \n",
    "                                               tags = {'task': \"image-classification\"}, \n",
    "                                               description='A model to predict types of food')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Deployment uses the inference configuration deployment configuration to deploy the models. The deployment process is similar regardless of the compute target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running...............................................\n",
      "Succeeded\n",
      "ACI service creation operation finished, operation \"Succeeded\"\n",
      "Healthy\n"
     ]
    }
   ],
   "source": [
    "service = Model.deploy(ws, name='food-classification-aci', models=[model], inference_config= inference_config, deployment_config=aciconfig)\n",
    "service.wait_for_deployment(True)\n",
    "print(service.state)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After your model is deployed, make a call to the web service using [service.run()](https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.webservice%28class%29?view=azure-ml-py#run-input-)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "breadpudding\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "  \n",
    "request = json.dumps({\"url\": \"https://i.imgur.com/TqlREOJ.jpg\"})\n",
    "prediction = service.run(request)\n",
    "print(prediction)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When you are finished testing your service, clean up the deployment with [service.delete()](https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.webservice%28class%29?view=azure-ml-py#delete--)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "service.delete()"
   ]
  }
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